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ORCIDJournal of Learning Analytic, Volume 12
Volume 12, Number 1, 2025
- Hassan Khosravi, Antonette Shibani, Jelena Jovanovic, Zachary A. Pardos, Lixiang Yan:
Generative AI and Learning Analytics: Pushing Boundaries, Preserving Principles. 1-11 - Kamila Misiejuk, Sonsoles López-Pernas, Rogers Kaliisa, Mohammed Saqr:
Mapping the Landscape of Generative Artificial Intelligence in Learning Analytics: A Systematic Literature Review. 12-31 - Joel Weijia Lai, Wei Qiu, Maung Thway, Lei Zhang, Nurabidah Binti Jamil, Chit Lin Su, Samuel S. H. Ng, Fun Siong Lim:
Leveraging Process-Action Epistemic Network Analysis to Illuminate Student Self-Regulated Learning with a Socratic Chatbot. 32-49 - Owen Henkel, Hannah Horne-Robinson, Maria Dyshel, Greg Thompson, Ralph Abboud, Nabil Al Nahin Ch, Baptiste Moreau-Pernet, Kirk Vanacore:
Learning to Love LLMs for Answer Interpretation: Chain-of-Thought Prompting and the AMMORE Dataset. 50-64 - Xavier Ochoa, Xiaomeng Huang, Yuli Shao:
Exploring the Potential of Generative AI to Support Non-experts in Learning Analytics Practice. 65-90 - Eran Hadas, Arnon Hershkovitz:
Assessing Creativity Across Multi-Step Intervention Using Generative AI Models. 91-109 - Kasra Lekan, Zachary A. Pardos:
AI-Augmented Advising: A Comparative Study of GPT-4 and Advisor-based Major Recommendations. 110-128 - Stanislav Pozdniakov, Jonathan Brazil, Mehrnoush Mohammadi, Mollie Dollinger, Shazia Sadiq, Hassan Khosravi:
AI-Assisted Co-Creation: Bridging Skill Gaps in Student-Generated Content. 129-151 - Flora Ji-Yoon Jin, Bhagya Maheshi, Wenhua Lai, Yuheng Li, Danijela Gasevic, Guanliang Chen, Nicola Charwat, Philip Wing Keung Chan, Roberto Martínez-Maldonado, Dragan Gasevic, Yi-Shan Tsai:
Students' Perceptions of Generative AI-Powered Learning Analytics in the Feedback Process: A Feedback Literacy Perspective. 152-168 - Xiner Liu, Andres Felipe Zambrano, Ryan S. Baker, Amanda Barany, Jaclyn Ocumpaugh, Jiayi Zhang, Maciej Pankiewicz, Nidhi Nasiar, Zhanlan Wei:
Qualitative Coding with GPT-4: Where it Works Better. 169-185 - Ridwan Whitehead, Andy Nguyen, Sanna Järvelä:
Utilizing Multimodal Large Language Models for Video Analysis of Posture in Studying Collaborative Learning: A Case Study. 186-200 - Montse Guitert, Teresa Romeu Fontanillas, Juliana E. Raffaghelli, Juan Pedro Cerro Martínez:
Collaborative Learning Analytics: Centring the Ethical Implications Around Teacher and Student Empowerment. A Systematic Review. 201-214 - Jelena N. Larsen, Kine M. D. Maxwell, Mohammad Khalil:
Exploring the Link Between Motivational Regulation and Learning Design with Learning Analytics: A Systematic Literature Review. 215-237 - Andy Nguyen, Yeyu Wang, Ridwan Whitehead, Muhammad Ashiq, Sanna Järvelä, David Williamson Shaffer:
Examining the Interplay of Gaze and Verbal Interactions in Socially Shared Regulation of Learning: A Transmodal Analysis (TMA) Study. 238-252 - Shihui Feng, David C. Gibson, Dragan Gasevic:
Analyzing Students' Emerging Roles Based on Quantity and Heterogeneity of Individual Contributions in Small Group Online Collaborative Learning Using Bipartite Network Analysis. 253-270 - David Williamson Shaffer, Yeyu Wang, Andrew R. Ruis:
Transmodal Analysis. 271-292 - Wenyi Lu, Joseph Griffin, Troy D. Sadler, James M. Laffey, Sean P. Goggins:
Game-Based Learning Prediction Model Construction: Towards Validated Stealth Assessment Implementation. 293-321 - Hai Li, Wanli Xing, Chenglu Li, Wangda Zhu, Simon Woodhead:
Integrating Option Tracing into Knowledge Tracing: Enhancing Learning Analytics for Mathematics Multiple-Choice Questions. 322-337 - Xiaomeng Huang, Xavier Ochoa:
Charting the Development of Collaboration Skills Through Collaborative Learning Analytics Systems. 338-366 - Stanislav Pozdniakov, Roberto Martínez-Maldonado, Yi-Shan Tsai, Vanessa Echeverría, Zachari Swiecki, Dragan Gasevic:
Investigating the Effect of Visualization Literacy and Guidance on Teachers' Dashboard Interpretation. 367-390 - Xinyu Li, Yizhou Fan, Tongguang Li, Mladen Rakovic, Shaveen Singh, Joep van der Graaf, Lyn Lim, Johanna D. Moore, Inge Molenaar, Maria Bannert, Dragan Gasevic:
FLoRA Engine: Using Analytics to Measure and Facilitate Learners' Own Regulation Activities. 391-413
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